{"id":"W3022475915","doi":"10.3390/w12051254","title":"Risk and Resilience: A Case of Perception versus Reality in Flood Management","year":2020,"lang":"en","type":"article","venue":"Water","topic":"Flood Risk Assessment and Management","field":"Environmental Science","cited_by":46,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University; York University","funders":"","keywords":"Flood myth; Natural hazard; Hazard; Resilience (materials science); Environmental planning; Environmental resource management; Risk perception; Community resilience; Geography; Climate change; Risk management; Psychological resilience; Coping (psychology); Natural disaster; Perception; Risk analysis (engineering); Business; Psychology; Environmental science; Engineering; Social psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.008020275,0.0004757026,0.0003901394,0.0024309,0.01563863,0.009000299,0.001811883,0.002533401,0.002256214],"category_scores_gemma":[0.017116,0.0003553769,0.0005513631,0.0027158,0.03127279,0.006081798,0.008025022,0.004590102,0.0000918088],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.03783718,"about_ca_system_score_gemma":0.02366248,"about_ca_topic_candidate":true,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.7304623,"about_ca_topic_score_gemma":0.757163,"domain_scores_codex":[0.9919404,0.004486294,0.0001519749,0.0004449992,0.001475994,0.001500338],"domain_scores_gemma":[0.9907816,0.005612297,0.0008349556,0.0004489606,0.000989709,0.001332397],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00006769742,0.00008498207,0.02223586,0.00007953712,0.00002228761,0.004137681,0.8486611,0.0007054136,0.0003026659,0.1072669,0.002290859,0.01414499],"study_design_scores_gemma":[0.00001041978,0.0000280281,0.01574185,0.0001579505,0.00002232933,0.000841313,0.941191,0.001803,0.0001473546,0.02497902,0.01502405,0.00005371722],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8642288,0.00134412,0.005873592,0.05333832,0.0001439695,0.00009617162,0.00009361915,0.00003061057,0.07485084],"genre_scores_gemma":[0.9979092,0.0001968299,0.0005706588,0.0004737126,0.00001367189,0.00001359688,0.000008926992,0.000005373643,0.0008079568],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7304623,"threshold_uncertainty_score":0.5422502,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01314488944522673,"score_gpt":0.2513926310429699,"score_spread":0.2382477415977432,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}